Data Scientist / Machine Learning Engineer
About The Position
Athena Technology Group, Inc. (ATG) is a Service-Disabled Veteran Owned Small Business (SDVOSB) focused on Information Technology and Communications consulting, system engineering, integration, deployment and operation of state of the art command and control and information systems that deliver critical network centric solution to the warfighter. With a proven track record of technical support to our customers, we are looking for innovative industry professionals to join our team. ATG is an Equal Opportunity/Affirmative Action Employer Minorities/Females/Vets/Disability We are seeking a Data Scientist / Machine Learning Engineer to support advanced analytics and data science initiatives at Fort Eisenhower, GA under the IAE program. The selected candidate will develop and deploy machine learning models, process large-scale structured and unstructured data, and provide actionable insights to support mission-critical operations.
Requirements
- Active TS/SCI clearance with CI Poly and ability to obtain MEAD SIP clearance
- Bachelor’s degree with 10+ years of experience, Master’s with 3–6+ years, or equivalent experience
- Strong Python development experience with data science and machine learning libraries (pandas, scikit-learn, PyTorch/TensorFlow, matplotlib/plotly, networkx)
- Experience with supervised and unsupervised machine learning, NLP, and network analysis
- Experience maintaining and deploying JupyterHub or similar environments
- Strong background in mathematics, statistics, engineering, or physics
- Experience analyzing complex datasets and delivering actionable insights
Nice To Haves
- IAM Level I certification
- Experience with high-performance computing environments
- Experience supporting DoD or intelligence community analytics programs
Responsibilities
- Curate and develop structured and unstructured data foundations in coordination with stakeholders
- Process modeling data and perform advanced analytics
- Apply machine learning, natural language processing, and network analysis techniques
- Develop innovative approaches to analyze large-scale unstructured datasets
- Process and index high-volume and high-velocity data streams
- Develop Python-based tools and packages for data analysis and machine learning applications
- Deploy and maintain notebook-based data science environments such as JupyterHub
- Visualize data insights using multi-dimensional analytical tools
Benefits
- Performance Bonuses and annual salary reviews
- Health, dental, and vision insurance
- Short Term Disability, Long Term Disability, and Life Insurance
- 401(k) plan with company match
- Opportunities for professional growth and development
- A collaborative and inclusive work environment
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
